[pymvpa] New paper using PyMVPA in press: neural similarity and across-subject decoding

[Rajeev Raizada]

Dear PyMVPA folks,

Just a quick note to say thanks for making possible
a new paper using PyMVPA, which is now in press
at the Journal of Cognitive Neuroscience.

Actually, this paper doubly owes its existence to PyMVPA,
as it uses the Haxby 2001 dataset, hosted at:
http://pymvpa.org/datadb/haxby2001.html

Here is the paper:
Raizada, R.D.S. & Connolly, A.C. (2011)
"What makes different people's representations alike:
neural similarity-space solves the problem of across-subject fMRI decoding."
Journal of Cognitive Neuroscience, in press.

The PDF of the paper, and also the Python and Matlab code
which generates the analyses, can be downloaded from:
http://raizadalab.org/publications.html

Happy Holidays,

Raj
------------
Rajeev Raizada, Ph.D.
Dept. of Human Development
Cornell University
Martha Van Rensselaer Hall
Ithaca, NY 14853
raizada at cornell.edu
http://raizadalab.org